Remco Royen

According to our database, Remco Royen authored at least 8 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

PCGen: A Fully Parallelizable Point Cloud Generative Model.

Nicolas Vercheval, Remco Royen, Adrian Munteanu, Aleksandra Pizurica

Sensors, March, 2024

W6DNet: Weakly Supervised Domain Adaptation for Monocular Vehicle 6-D Pose Estimation With 3-D Priors and Synthetic Data.

Yangxintong Lyu, Remco Royen, Adrian Munteanu

IEEE Trans. Instrum. Meas., 2024

2023

GPU Rasterization-Based 3D LiDAR Simulation for Deep Learning.

Leon Denis, Remco Royen, Quentin Bolsée, Nicolas Vercheval, Aleksandra Pizurica, Adrian Munteanu

Sensors, October, 2023

RESSCAL3D: Resolution Scalable 3D Semantic Segmentation of Point Clouds.

Remco Royen, Adrian Munteanu

Proceedings of the IEEE International Conference on Image Processing, 2023

Improved Block Merging for 3D Point Cloud Instance Segmentation.

Leon Denis, Remco Royen, Adrian Munteanu

Proceedings of the 24th International Conference on Digital Signal Processing, 2023

Mono6D++: Learning Point Cloud Visibility for 3D Prior-based Vehicle 6D Pose Estimation.

Yangxintong Lyu, Olivier Ducastel, Remco Royen, Adrian Munteanu

Proceedings of the 11th European Workshop on Visual Information Processing, 2023

2022

MONO6D: Monocular Vehicle 6D Pose Estimation with 3D Priors.

Yangxintong Lyu, Remco Royen, Adrian Munteanu

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2021

MaskLayer: Enabling scalable deep learning solutions by training embedded feature sets.

Remco Royen, Leon Denis, Quentin Bolsee, Pengpeng Hu, Adrian Munteanu

Neural Networks, 2021